Evidence map›Paper›PMID 38376044›Full record

ArticleBrain and behavior2024

Combined assessment of progressive apraxia of speech brain microstructure by diffusion tensor imaging tractography and multishell neurite orientation dispersion and density imaging.

Rodolfo G Gatto, Gabriela Meade, Joseph R Duffy, Heather M Clark, Rene L Utianski, Hugo Botha, Mary M Machulda, Keith A Josephs, Jennifer L Whitwell

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Rodolfo G GattoDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Gabriela MeadeDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-6153-7782
Joseph R DuffyDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Heather M ClarkDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-9697-0084
Rene L UtianskiDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-9519-1302
Hugo BothaDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Mary M MachuldaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.
Keith A JosephsDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Jennifer L WhitwellDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-2170-6662
Mayo Clinic · US

Funding

Longitudinal multi-modality imaging in progressive apraxia of speech (Diversity Supplement)R01DC012519 · NIDCD · MAYO CLINIC ROCHESTER · PI Jennifer Louise Whitwell · 2013 to 2026
$7.2M
The neurobiology of two distinct types of progressive apraxia of speechR01DC014942 · NIDCD · MAYO CLINIC ROCHESTER · PI Keith A Josephs, Rene Lynn Utianski · 2017 to 2026
$4.9M
NIDCD NIH HHS R01 DC012519NIDCD NIH HHS R01 DC014942
6 · The paper itself

Abstract

backgroundProgressive apraxia of speech (PAOS) is characterized by difficulties with motor speech programming and planning. PAOS targets gray matter (GM) and white matter (WM) microstructure that can be assessed using diffusion tensor imaging (DTI) and multishell applications, such as neurite orientation dispersion and density imaging (NODDI). In this study, we aimed to apply DTI and NODDI to add further insight into PAOS tissue microstructure.

methodsTwenty-two PAOS patients and 26 age- and sex-matched controls, recruited by the Neurodegenerative Research Group (NRG) at Mayo Clinic, underwent diffusion MRI on 3T MRI. Brain maps of fractional anisotropy (FA) and mean diffusivity (MD) from DTI and intracellular volume fraction (ICVF) and isotropic volume fraction (IsoVF) from NODDI were generated. Global WM and GM, and specific WM tracts were identified using tractography and lobar GM regions.

resultsGlobal WM differences between PAOS and controls were greatest for ICVF, and global GM differences were greatest for MD and IsoVF. Abnormalities in key WM tracts involved in PAOS, including the body of the corpus callosum and frontal aslant tract, were identified with FA, MD, and ICVF, with excellent differentiation of PAOS from controls (area under the receiver operating characteristic curves >.90). MD and ICVF identified abnormalities in arcuate fasciculus, thalamic radiations, and corticostriatal tracts. Significant correlations were identified between an index of articulatory errors and DTI and NODDI metrics from the arcuate fasciculus, frontal aslant tract, and inferior longitudinal fasciculus.

conclusionsDTI and NODDI represent different aspects of brain tissue microstructure, increasing the number of potential biomarkers for PAOS.

Indexed as

ApraxiasWhite MatterBrainDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingHumansNeuritesSpeech4R tauopathiesdiffusion tensor imagingneurite orientation dispersion density imagingprogressive apraxia of speechtractography

Identifiers

PMID38376044
PMCPMC10761330
OpenAlexW4390520123

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.